CN106525918A - Power line clip defect recognition device and method - Google Patents

Power line clip defect recognition device and method Download PDF

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Publication number
CN106525918A
CN106525918A CN201610938249.6A CN201610938249A CN106525918A CN 106525918 A CN106525918 A CN 106525918A CN 201610938249 A CN201610938249 A CN 201610938249A CN 106525918 A CN106525918 A CN 106525918A
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China
Prior art keywords
power line
defect
line clamp
mobile platform
dimensional mobile
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Pending
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CN201610938249.6A
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Chinese (zh)
Inventor
张兴森
边美华
梁庆国
刘桂婵
卢展强
梁世容
彭家宁
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Electric Power Research Institute of Guangxi Power Grid Co Ltd
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Electric Power Research Institute of Guangxi Power Grid Co Ltd
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Publication date
Application filed by Electric Power Research Institute of Guangxi Power Grid Co Ltd filed Critical Electric Power Research Institute of Guangxi Power Grid Co Ltd
Priority to CN201610938249.6A priority Critical patent/CN106525918A/en
Publication of CN106525918A publication Critical patent/CN106525918A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N27/00Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
    • G01N27/02Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance
    • G01N27/04Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating resistance
    • G01N27/20Investigating the presence of flaws

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  • Chemical & Material Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Electrochemistry (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Testing Of Short-Circuits, Discontinuities, Leakage, Or Incorrect Line Connections (AREA)

Abstract

The invention discloses a power line clip defect recognition device. The device comprises an impedance analyzer, a three-dimensional mobile platform and an upper computer, the upper computer is connected with the impedance analyzer and the three-dimensional mobile platform separately, a probe of the impedance analyzer is connected with a control shaft of the three-dimensional mobile platform, and the control shaft is used for controlling movement of the probe to measure an impedance signal of a power line clip defect on the three-dimensional mobile platform. A recognition method comprises the steps that feature extraction is conducted by adopting a PCA algorithm, and recognition and classification are conducted on a crack defect through SVM. According to the power line clip defect recognition device, the reliability and the service life of a line clip can be subjected to quantitative detection and evaluation, and therefore the safety of line clip application is guaranteed.

Description

A kind of power line clamp defect recognizing device and method
Technical field
The present invention relates to wire clamp technical field, more particularly a kind of power line clamp defect recognizing device and method.
Background technology
Power line clamp as overhead transmission line in a kind of important gold utensil, directly connect with wire in overhead transmission line Touch, play a part of firm, rest and hang power transmission line.The wire clamp of long service for example suspension clamp, strain clamp, thimble and Anti-corona shaped cable clamp occurs fracture and buckling phenomenon.The fracture and deformation failure of wire clamp can cause electrical network or transmission line of electricity event Barrier, causes heavy economic losses.Crack defect is the main cause of power line clamp fracture failure.In order to prevent sending out for such accident It is raw, reduce economic loss, it is necessary to find the crack defect in power line clamp early.Therefore, power line clamp defect recognition and quantization Detection is problem demanding prompt solution with the reliability and service life of evaluating wire clamp, but not yet has correlative study report to relate to so far And power line clamp defect recognition special testing instrument and recognition methods.
The content of the invention
The invention provides a kind of power line clamp defect recognizing device and method, by power line clamp defect recognizing device energy The impedance signal of power line clamp defect is automatically obtained, the defect of power line clamp can be carried out by power line clamp defect identification method Identification and classification.
For achieving the above object, the technical scheme is that:
A kind of power line clamp defect recognizing device, including electric impedance analyzer, also including three-dimensional mobile platform and host computer, it is described on Position machine be connected with electric impedance analyzer and three-dimensional mobile platform respectively, the probe of the electric impedance analyzer and the control of three-dimensional mobile platform Axle processed is connected, and the control shaft is used to control the movement of probe and is believed with the impedance for measuring power line clamp defect in three-dimensional mobile platform Number.
Further, the host computer includes display module, logging modle and control module, the control module and control Axle connects, and the logging modle and display module are connected with electric impedance analyzer.The display module is used to show electric impedance analyzer The impedance signal for measuring, the logging modle are used to record the impedance signal that electric impedance analyzer is measured.
The method that defect recognition is carried out using above-described power line clamp defect recognizing device, comprises the following steps:
(1)Using the control shaft of PC control three-dimensional mobile platform, probe is made to carry out power line clamp defects detection;
(2)Electric impedance analyzer obtains the impedance signal of each power line clamp defect;
(3)The extraction of characterisitic parameter is carried out to the impedance signal of power line clamp defect using PCA algorithms;
(4)Combination supporting vector machine, sets up the disaggregated model of power line clamp defect, and power line clamp defect is identified.
Further, the characterisitic parameter includes resistance and reactance.
By above-mentioned technical proposal, can with the impedance signal of automatic measurement power line clamp defect, then by PCA algorithms and The combination of SVMs, sets up the disaggregated model of power line clamp defect, so as to realize the identification to power line clamp defect, passes through Power line clamp defect recognition, can quantify to detect and evaluate the reliability and service life of wire clamp, so as to ensure wire clamp application Security.
Description of the drawings
Fig. 1 is the structural representation of power line clamp defect recognizing device.
Fig. 2 is the impedance signal changing trend diagram that embodiment middle impedance analyzer is obtained.
Fig. 3 is the result figure that embodiment carries out feature extraction using PCA algorithms to the impedance signal of power line clamp defect.
Control shaft 1, host computer 2, electric impedance analyzer 3, power line clamp 4, probe 5, three-dimensional mobile platform 6.
Specific embodiment
Below in conjunction with specific embodiment, the invention will be further described, but protection scope of the present invention is not limited to following reality Apply example.
A kind of power line clamp defect recognizing device, including electric impedance analyzer 3, three-dimensional mobile platform 6 and host computer 2, it is upper Machine 2 is connected with electric impedance analyzer 3 and three-dimensional mobile platform 6 respectively, the control of the probe of electric impedance analyzer 35 and three-dimensional mobile platform 6 Axle processed 1 is connected, and control shaft 1 is used for the movement for controlling probe 5, to measure the impedance of 4 defect of power line clamp in three-dimensional mobile platform 6 Signal.
More specifically, host computer includes display module, logging modle and control module, and control module is connected with control shaft, For controlling the moving line of the control shaft 1 of three-dimensional mobile platform 6 to X, Y, Z different directions, logging modle and display module with Electric impedance analyzer 3 connects, and display module is used to show the impedance signal that electric impedance analyzer 3 is measured that logging modle to be used to record resistance The impedance signal that analysis resistant instrument 3 is measured.
The method that defect recognition is carried out using above-described power line clamp defect recognizing device, comprises the following steps:
(1)Using the control shaft of PC control three-dimensional mobile platform, probe is made to carry out power line clamp defects detection;
(2)Electric impedance analyzer obtains the impedance signal of each power line clamp defect;
(3)The extraction of characterisitic parameter is carried out to the impedance signal of power line clamp defect using PCA algorithms;
(4)Combination supporting vector machine, sets up the disaggregated model of power line clamp defect, and power line clamp defect is identified.
Wherein, step(3)Described characterisitic parameter includes resistance and reactance.
The different length occurred in the present embodiment simulation power line clamp and the crack defect of depth, crackle are a total of 6, point It is not:1 crackle geometric parameter lookup table of table
The method that defect is identified is comprised the following steps:
(1)Using the control shaft of PC control three-dimensional mobile platform, probe is made to carry out power line clamp defects detection;
(2)Electric impedance analyzer obtains the impedance signal of each power line clamp defect, and the impedance signal changing trend diagram of acquisition is shown in Fig. 2, As can be seen here:When probe progressively near crackle when, resistance value becomes larger, and starts to diminish to after peaking, until probe movement Minimum is reached during to Crack Center position.When probe progressively near crackle when, reactance value becomes larger, until probe move to it is scarce Peak value is reached during sunken center.The crack defect signal of different depth or length has different signal peaks, with crack depth Also accordingly increase with the increase peak value of length, and reactance signal sensitivity is better than resistance signal;Additionally, length change and depth become The Signal of Cracks change of change is closely similar;
(3)The extraction of characterisitic parameter is carried out to the impedance signal of power line clamp defect using PCA algorithms, the result of extraction is shown in Fig. 3;
(4)Combination supporting vector machine, according to the resistance and reactance signal characteristic of the length and depth of crackle, can set up power line The disaggregated model of folder defect, is identified to power line clamp defect.

Claims (4)

1. a kind of power line clamp defect recognizing device, including electric impedance analyzer, it is characterised in that:
Also include three-dimensional mobile platform and host computer, the host computer is connected with electric impedance analyzer and three-dimensional mobile platform respectively, The probe of the electric impedance analyzer is connected with the control shaft of three-dimensional mobile platform, the control shaft be used for control probe movement with The impedance signal of power line clamp defect in measurement three-dimensional mobile platform.
2. power line clamp defect recognizing device according to claim 1, including electric impedance analyzer, it is characterised in that:
The host computer includes display module, logging modle and control module, and the control module is connected with control shaft, the note Record module and display module are connected with electric impedance analyzer.
3. the method for carrying out defect recognition using power line clamp defect recognizing device as claimed in claim 1 or 2, its feature exist In comprising the following steps:
(1)Using the control shaft of PC control three-dimensional mobile platform, probe is made to carry out power line clamp defects detection;
(2)Electric impedance analyzer obtains the impedance signal of each power line clamp defect;
(3)The extraction of characterisitic parameter is carried out to the impedance signal of power line clamp defect using PCA algorithms;
(4)Combination supporting vector machine, sets up the disaggregated model of power line clamp defect, and power line clamp defect is identified.
4. the method for defect recognition according to claim 3, it is characterised in that:
The characterisitic parameter includes resistance and reactance.
CN201610938249.6A 2016-10-25 2016-10-25 Power line clip defect recognition device and method Pending CN106525918A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610938249.6A CN106525918A (en) 2016-10-25 2016-10-25 Power line clip defect recognition device and method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610938249.6A CN106525918A (en) 2016-10-25 2016-10-25 Power line clip defect recognition device and method

Publications (1)

Publication Number Publication Date
CN106525918A true CN106525918A (en) 2017-03-22

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CN113902739A (en) * 2021-11-29 2022-01-07 广东电网有限责任公司肇庆供电局 NUT wire clamp defect identification method, device and equipment and readable storage medium

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JP2015017938A (en) * 2013-07-12 2015-01-29 株式会社竹中工務店 Method and system for detecting broken part of steel material
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CN113902739A (en) * 2021-11-29 2022-01-07 广东电网有限责任公司肇庆供电局 NUT wire clamp defect identification method, device and equipment and readable storage medium

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Application publication date: 20170322